Evidence map›Paper›PMID 26587797›Full record

ArticleAJR. American journal of roentgenology2016

Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining.

Laurie R Margolies, Gaurav Pandey, Eliot R Horowitz, David S Mendelson

Abstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. A model for an undergraduate research experience program in quantitative sciences.Journal of statistics and data science education : an official journal of the of the American Statistical Association · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Imaging Informatics: 25 Years of Progress.Yearbook of medical informatics · 2016
    Article
  14. Role of US LI-RADS in the LI-RADS Algorithm.Radiographics : a review publication of the Radiological Society of North America, Inc
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Laurie R Margolies1 Department of Radiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Pl, Box 1234, New York, NY 10029.
Gaurav Pandey2 Department of Genetics and Genomic Science and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY.
Eliot R Horowitz3 MongoDB, New York, NY.
David S Mendelson4 Department of Radiology, Clinical Informatics, Radiology IT, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY.

Funding

A New Disease Platform Leveraging Complex Drosophila and Mammalian ModelsU54OD020353 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAGAN, ROSS LEIGH · 2015 to 2019
$10.3M
Identifying the gene networks of insulin resistance: the GENESIPS studyU01HL107388 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS, SCHADT, ERIC E · 2011 to 2015
$8.8M
Boosting the Translational Impact of Scientific Competitions by Ensemble LearningR01GM114434 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PANDEY, GAURAV · 2015 to 2017
$1.3M
NHLBI NIH HHS 1U01HL107388NHLBI NIH HHS U01 HL107388NIGMS NIH HHS R01 GM114434NIGMS NIH HHS R01GM114434NIH HHS U54 OD020353NIH HHS U54OD020353
6 · The paper itself

Abstract

objectiveThe purpose of this article is to describe structured reporting and the development of large databases for use in data mining in breast imaging.

conclusionThe results of millions of breast imaging examinations are reported with structured tools based on the BI-RADS lexicon. Much of these data are stored in accessible media. Robust computing power creates great opportunity for data scientists and breast imagers to collaborate to improve breast cancer detection and optimize screening algorithms. Data mining can create knowledge, but the questions asked and their complexity require extremely powerful and agile databases. New data technologies can facilitate outcomes research and precision medicine.

Indexed as

Databases, FactualRadiology Information SystemsBreast NeoplasmsData MiningFemaleHumansMagnetic Resonance ImagingMammographyMedical InformaticsResearch DesignUltrasonography, Mammarybreast cancerbreast imagingdata miningprecision medicinestructured reporting

Identifiers

PMID26587797
PMCPMC4876713

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.